A generic and practical wave overtopping model that includes uncertainty

Author:

Pullen Tim1ORCID,Liu Ye2,Otinar Morillas Pedro3,Wyncoll David4,Malde Sajni5,Gouldby Ben6

Affiliation:

1. Principal Engineer, Coastal Structures, HR Wallingford Ltd, Wallingford, UK (corresponding author: )

2. Principal Statistician, Flood Risk, HR Wallingford Ltd, Wallingford, UK

3. Research Fellow, Coastal Structures, HR Wallingford Ltd, Wallingford, UK

4. Mathematical Consultant, Smith Institute, Harwell, UK

5. Statistician, Flood Risk, HR Wallingford Ltd, Wallingford, UK

6. Chief Technical Director, Flood Risk, HR Wallingford Ltd, Wallingford, UK

Abstract

Mean wave overtopping discharge is generally accepted to be a primary design criterion for assessing the performance of coastal structures. It is a boundary condition for many coastal flood risk assessments. Modern methods for assessing wave overtopping discharges and their consequences are well documented and reported. Among the various tools available for assessing wave overtopping, the use of artificial neural networks has become increasingly popular. This paper introduces the next stage in the development of these models. Using the same source data, the new generic meta-modelling overtopping model reduces uncertainties and gives clear guidance on the range and validity of the outputs.

Publisher

Thomas Telford Ltd.

Subject

Ocean Engineering

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